Generative Pre-Trained Transformers (GPT) and Space Health: A Potential Frontier in Astronaut Health During Exploration Missions

Authors

Ethan Waisberg
Joshua Ong
Mouayad Masalkhi
Nasif Zaman
Sharif Amit Kamran
Prithul Sarker
Andrew G Lee
Alireza Tavakkoli

Publication Date

8-1-2023

Journal

Prehospital Emergency Care

Abstract

In anticipation of space exploration where astronauts are traveling away from Earth, and for longer durations with an increasing communication lag, artificial intelligence (AI) frameworks such as large language learning models (LLMs) that can be trained on Earth can provide real-time answers. This emerging technology may be helpful for acute medical emergencies, particularly in austere and distant space environments. In this manuscript, we provide an overview of generative pre-trained transformer (GPT) technology, a rapidly emerging AI technology, and implications, considerations, and limitations of such technology for space health.

Keywords

Humans, Astronauts, Artificial Intelligence, Space Flight, Time Factors, artificial intelligence, generative pre-trained transformer, spaceflight associated neuro-ocular syndrome, space medicine

DOI

10.1017/S1049023X23005848

PMID

37264946

PMCID

PMC10445113

PubMedCentral® Posted Date

6-2-2023

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes